Senior Software Engineer, Machine Learning Infrastructure

Key Skills

Apache Beam, Apache Hadoop, Data pipelines, Google BigQuery, Java Programming, Kubeflow, Python Programming, SPARK Programming, SQL

Job Description

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

Horizontal Platforms teams work on orchestration, which is Cruise’s workflow management platform, Centra, entry point to ML tooling at Cruise, reliability, and observability. We provide common solutions to problems across the MLI (Machine Learning Infrastructure) organization so that the teams can focus on solving their individual product problems. We work closely with our ML engineer customers across the Perception and Behavior organizations to support their model training and evaluation workflows.

Your focus is on making pipeline based model tests as fast as possible. This way, you will help Cruise expand to multiple cities.

What you’ll be doing: 

• Use the latest cloud technologies to design, implement, and test scalable distributed data systems. Champion engineering excellence by continuously improving systems and processes.
• Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency. 
• Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems.
• Own technical projects from start to finish. Effectively participate in team’s planning, code reviews and design discussions
• Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements

What we are looking for: 

General:

• Passion for self-driving technology and its impact
• Experience and proficiency shipping products end-to-end
• Technical communication/collaboration skills
• Demonstrated ability to empathize with customer problems and deliver solutions

Technical:

• BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
• Experience building scalable infrastructure on the cloud with Python, Java, or Golang (or similar)
• Experience with SQL, Spark, BigQuery, Dataflow, or other data processing tools
• Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis.
• Experience with Google Cloud, AWS, Azure, or similar

Bonus points!

• Experience working on computer vision, machine learning or related projects from ideation to completion
• Experience working with model and pipeline testing or active learning techniques
• Experience with autonomous vehicle technology
• Experience building tools that are core to a machine learning engineer’s daily work
• Experience working closely with product managers, designers, and user experience researchers

The salary range for this position is $122,900 - 180,600. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.

WHY CRUISE?

• OUR BENEFITS ARE HERE TO SUPPORT THE WHOLE YOU:

Competitive salary and benefits 

401(k) Cruise matching program 

Medical / dental / vision, AD+D and Life

Subsidized mental health benefits

Flexible vacation and company paid holidays

Healthy meals and snacks available for non-remote employees

Paid parental, jury duty, bereavement, family care, and medical leave

Fertility Benefits

Dependent Care Flexible Spending Account

Flexible Spending Account 

Pre-tax Commuter Benefit Plan for non-remote employees

CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here